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list_video_translations

Find recent video translation jobs from the last 15 days by status and page, then use the order number to get download links via the status endpoint.

Instructions

分页查询视频翻译任务列表,只返回最近 15 天的记录。status 过滤值:0 未开始 / 1 进行中 / 2 成功 / 3 失败 / 4 已取消。列表只用来找单号和看状态,不带下载地址(每条几百字符的签名链接,十条就上万字符,且大多用不上)。要交付某一单的产出,拿它的 videoTranslateOrderNo 调 get_video_translation_status 取链接,那边是现签发的,不必担心列表里的地址过期。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
localeNo把要念给用户听的那部分文案(任务状态、产出说明、进度行、失败原因、下载说明)输出成哪种语言。按用户当前说话的语言填,不确定就别传——不传取服务端 MCP_LOCALE,再没有就是 zh。
statusNo状态过滤
page_numNo页码
page_sizeNo每页数量

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.6/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden and does it well: it discloses the 15-day retention window, the intentional absence of download links, the payload-size rationale, and the fact that even if links existed they could expire. It does not explicitly say the operation is read-only or describe pagination defaults, but the key non-obvious behaviors are covered.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Every sentence earns its place: purpose, status mapping, no-download-links rationale, and the alternative routing are all stated compactly. The most important scoping constraints are front-loaded, and the explanation of why links are omitted is concise and not redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema and no annotations, the description covers the essential return semantics: what the list is for, what it returns at a high level, what it intentionally omits, and the time window. It does not describe pagination response structure or default page sizes, but those are secondary for a list explicitly meant for status lookup.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description adds considerable meaning for the status parameter by enumerating all filter values (0-4), and it explains that the response is meant to expose order numbers and statuses. It does not add much for page_num/page_size, but the status semantics alone justify above baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('分页查询视频翻译任务列表'), defines the scope (recent 15 days), and explicitly clarifies the list's purpose: find order numbers and check status. It also differentiates itself from get_video_translation_status by directing delivery use cases there.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit when-to-use guidance: this list is only for finding order numbers and viewing status, not for fetching download links. It names the alternative tool to use for deliverables and tells the agent to pass videoTranslateOrderNo to get_video_translation_status.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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